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Show HN: Run an 80B Qwen in 4.3 GB of RAM on a Mac, and a 35B on an iPhone

310 points · 140 comments · leonickson

  1. dghlsakjg · · focus · HN ↗
    I know everyone wants to crap all over these setups that are impractical, but this is how progress happens.

    People will keep plugging away at this and figure out how to avoid wearing the hard drive, how to make it run faster, custom hardware buses etc.

    Keep going! I personally can't wait for the day when a 1t param model runs off a $200 SSD instead of a $50k rack of Nvidia chips.

    1. JKCalhoun · · focus · HN ↗
      Agree—and I want to see this functionality move to the larger platforms that everyone uses like LM Studio.
      1. ac29 · · focus · HN ↗
        llama.cpp has used mmap by default for years
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